{"id":"W4398804894","doi":"10.7910/dvn/qi2t9a/wxn1uv","title":"20181010-icews-events.zip","year":2018,"lang":"es","type":"dataset","venue":"Harvard Dataverse","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Computer science; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007597157,0.0009443294,0.0008391425,0.001480657,0.0009088958,0.0006555397,0.002777105,0.001149188,0.0972238],"category_scores_gemma":[0.0006916844,0.0009799672,0.0002692257,0.001670862,0.0008014879,0.002766157,0.002928355,0.001189467,0.7581129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009911003,"about_ca_system_score_gemma":0.0001017208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002380818,"about_ca_topic_score_gemma":0.0008051432,"domain_scores_codex":[0.9960425,0.00003840385,0.001004261,0.001240548,0.0006430911,0.00103115],"domain_scores_gemma":[0.9945788,0.000091117,0.001132858,0.003532239,0.0006180539,0.00004696267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004955769,0.0003857692,0.001042085,0.0005449313,0.0003405444,0.00009187137,0.000005669855,2.693536e-7,0.00002673918,0.008265682,0.9885526,0.0006943293],"study_design_scores_gemma":[0.0009627271,0.00003940956,0.0007565258,0.0004750028,0.0008044528,0.00001364682,0.0001795277,0.00003917741,0.00001558805,0.0008530505,0.994818,0.001042889],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001319204,0.000004946823,0.00007551617,0.0007830267,0.004124055,0.0008595561,0.9847044,0.0004966517,0.007632609],"genre_scores_gemma":[0.0005920352,0.0004402192,0.0003463582,0.007355251,0.004561923,0.00008370999,0.9842092,0.0001081018,0.002303173],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6608891,"threshold_uncertainty_score":0.9992651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02127562297980853,"score_gpt":0.2482784940621716,"score_spread":0.2270028710823631,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}